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A quantitative analysis of transmission efficiency versus intensity for malaria

Author

Listed:
  • David L. Smith

    (Emerging Pathogens Institute, University of Florida
    University of Florida)

  • Chris J. Drakeley

    (London School of Hygiene and Tropical Medicine)

  • Christinah Chiyaka

    (Emerging Pathogens Institute, University of Florida)

  • Simon I. Hay

    (Spatial Ecology and Epidemiology Group, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK.)

Abstract

The relationship between malaria transmission intensity and efficiency is important for malaria epidemiology, for the design of randomized control trials that measure transmission or incidence as end points, and for measuring and modelling malaria transmission and control. Five kinds of studies published over the past century were assembled and reanalysed to quantify malaria transmission efficiency and describe its relation to transmission intensity, to understand the causes of inefficient transmission and to identify functions suitable for modelling mosquito-borne disease transmission. In this study, we show that these studies trace a strongly nonlinear relationship between malaria transmission intensity and efficiency that is parsimoniously described by a model of heterogeneous biting. When many infectious bites are concentrated on a few people, infections and parasite population structure will be highly aggregated affecting the immunoepidemiology of malaria, the evolutionary ecology of parasite life history traits and the measurement and stratification of transmission for control using entomological and epidemiological data.

Suggested Citation

  • David L. Smith & Chris J. Drakeley & Christinah Chiyaka & Simon I. Hay, 2010. "A quantitative analysis of transmission efficiency versus intensity for malaria," Nature Communications, Nature, vol. 1(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:1:y:2010:i:1:d:10.1038_ncomms1107
    DOI: 10.1038/ncomms1107
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    Cited by:

    1. T Alex Perkins & Thomas W Scott & Arnaud Le Menach & David L Smith, 2013. "Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission," PLOS Computational Biology, Public Library of Science, vol. 9(12), pages 1-16, December.
    2. Stephan Karl & Michael T White & George J Milne & David Gurarie & Simon I Hay & Alyssa E Barry & Ingrid Felger & Ivo Mueller, 2016. "Spatial Effects on the Multiplicity of Plasmodium falciparum Infections," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-20, October.

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